The Role
Develop firmware and embedded systems for rugged wearable cameras: write drivers for sensors and peripherals, implement real-time algorithms and on-device ML inference, build provisioning/OTA/telemetry infrastructure, optimize power/battery life, and collaborate with hardware and manufacturing through product lifecycle and volume production.
Summary Generated by Built In
About Ironsite
The Role
What You'll Do
Job Requirements
Preferred Qualifications
Location & Compensation
Compensation
Construction is one of the most complex and labor-intensive industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.
Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers. We put cameras on construction workers' hard hats and vests, then use advanced computer vision to analyze what's actually happening on job sites.
We help teams reduce labor costs, improve safety, and deliver projects faster. To date, we’ve captured 50,000+ hours of construction footage across 7 states and have recently partnered with the nation’s #2 hard-hat manufacturer, Studson, to develop custom hardware purpose-built for the field.
We’ve raised over $13M from 8VC, South Park Commons, and 30+ leading operators and technologists, including Eric Glyman (Ramp), Jeff Dean (Google), and Scott Wu (Cognition). Now, we’re building the team to scale nationwide.
Join our team to build firmware and embedded systems that power wearable devices for 11 million construction workers across the toughest jobsites in America.
You'll work directly with our hardware and software engineers to develop firmware for ruggedized wearable cameras across multiple form factors including hard-hat and body-worn devices. These cameras need to capture high-quality video continuously across 8+ hour shifts while managing power, connectivity, and on-device processing in extreme environments.
We're scaling production for our public launch in Q1 2026. We've assembled a team that's never existed before in construction—engineers from DeepMind, Etched, Tesla, and NVIDIA working alongside construction veterans from Turner, DPR, and Cahill Construction.
- Develop embedded software for platforms like Raspberry Pi, ESP32, and STM32
- Write drivers and libraries for camera, audio, wireless, IMU, and environment sensing
- Analyze sensor data with real-time algorithms and ML inference on device
- Build reliable, secure infrastructure for provisioning, OTA updates, and telemetry
- Maximize battery life during all-day use
- Collaborate with hardware and manufacturing engineers across entire product lifecycle, from initial design and architecture through volume manufacturing
- Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
- 4+ years of experience in embedded systems and firmware development
- Proficiency in C/C++ for embedded systems with resource constraints
- Experience with at least one industry-standard microcontroller platform (eg, STM32, ESP32, nRF)
- Comfortable reading schematics and datasheets, and using typical HW lab tools (oscilloscope, logic analyzer, etc) to debug hardware-software integration issues
- Delivered at least one full product lifecycle in wearables, cameras, or IoT devices
- Experience with real-time operating systems such as FreeRTOS or Zephyr
- Proficient in embedded security best-practices, including secure boot, factory provisioning, and device authentication
- Familiarity with edge device ML inference frameworks
- San Francisco Bay Area (on-site)
- Hyper competitive salary and equity package
- Full benefits including health, dental, vision, and 401k +6% match
The base pay range for this role is $150,000 – $250,000 per year.
Skills Required
- Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
- 4+ years of experience in embedded systems and firmware development
- Proficiency in C/C++ for embedded systems with resource constraints
- Experience with at least one industry-standard microcontroller platform (eg, STM32, ESP32, nRF)
- Comfortable reading schematics and datasheets and using HW lab tools (oscilloscope, logic analyzer) to debug hardware-software integration
- Delivered at least one full product lifecycle in wearables, cameras, or IoT devices
- Experience with real-time operating systems such as FreeRTOS or Zephyr
- Proficient in embedded security best-practices, including secure boot, factory provisioning, and device authentication
- Familiarity with edge device ML inference frameworks
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The Company
What We Do
Ironsite AI is a construction technology company that leverages wearable cameras and AI vision models to drive on-site productivity, safety, and training. By equipping workers with smart hard hats, the platform captures real-time data to analyze field activities, optimize labor allocation, and identify safety risks. Their mission is to modernize construction management by providing data-driven insights that help contractors reduce labor costs and deliver projects more efficiently.
